Job Description
Join QuantumLeap Dynamics at the forefront of 2026's technological revolution! We're pioneering AI systems that will redefine industries, and we need visionary engineers to architect tomorrow's solutions. Our San Francisco hub combines cutting-edge research with agile development, offering unmatched opportunities to shape the future of artificial intelligence. Collaborate with Nobel laureates and disruptors in an environment where innovation thrives. Your work will directly impact billions of lives through breakthrough applications in healthcare, climate modeling, and autonomous systems.
Responsibilities
- Design and implement scalable ML pipelines for next-gen AI applications
- Lead research in quantum-enhanced neural networks for 2026 deployment
- Develop cross-domain AI solutions integrating IoT, blockchain, and edge computing
- Optimize models for real-time processing in distributed cloud environments
- Mentor junior engineers while contributing to open-source AI frameworks
- Secure patents for breakthrough AI methodologies
Qualifications
- PhD in Computer Science or equivalent with 5+ years ML experience
- Published research in top-tier AI conferences (NeurIPS, ICML, ICLR)
- Expertise in PyTorch/TensorFlow with production-level deployment
- Proficiency in quantum computing principles and QML frameworks
- Portfolio demonstrating 10+ production AI systems solving complex problems
- Experience with federated learning and differential privacy
- Strong background in NLP, computer vision, or reinforcement learning